A key feature of big data is its lack of structure – we’re talking about the stuff that doesn’t fit neatly into excel columns or that is easily described on first glance using numbers or other descriptors. This includes things such as images, satellite data and social media posts, which altogether comprise the bulk of […]
Biometrics and Big Data: Facial Recognition Read More »
Actuary, data scientist, or just a guy in the rain? The hot new thing, data science, isn’t so new after all. Since the advent of modern actuarial science in the late 1980s, insurance companies have relied on actuaries to use math and statistics to anticipate the future. What Actuaries and Data Scientists have in common
The Difference Between an Actuary and a Data Scientist Read More »
If you have huge volumes of data, chances are that you can get value out of analyzing that data. But, would you derive significant value from analyzing it in real time? This is an important question because, while there are benefits to real time analytics, there are also real costs. To help you decide whether
Do you need real-time business analytics? Start by asking yourself these 4 questions Read More »
There exists a chronic confusion as to what the distinction is between your average software engineer (i.e. programmer) and a data scientist. This is totally understandable, considering the fact that both jobs do involve programming and the term “data science” seems so much like the term “computer science”. However, the two differ in some significant
So, what is the difference between a programmer and a data scientist? Read More »
The data and predictive analytics landscape continues to shift rapidly as old practices are phased out and new technologies enter the mainstream on a virtually constant basis. As these changes continue to play out, business and IT managers face immense challenges when it comes to IT staffing to ensure their teams are comprised of the
Are you taking the right approach to IT staffing? Read More »
People in the tech world love to speculate on the future structure of the corporate IT department. While we cannot know precisely how this change will manifest, there are undeniable trends towards a more engaged and decentralized IT presence in organizations. This may very likely end in the elimination of the IT department as we
The Sad Future of the Corporate IT Department Read More »
We here at Dataspace thought it would be helpful to share some intriguing examples of how data can be easily manipulated to bring efficiency and value into our day-to-day lives. This week we will focus on how the daunting and time-consuming task of learning a foreign language can be made easier by taking a data-driven
Two Birds With One Stone: Learn Data Science and A Foreign Language at the Same Time! Read More »
I know I have data, but is it big data? Companies often find themselves wondering whether or not they have big data and questioning whether they even need business intelligence and predictive analytics to improve their business strategy. The reality is that you probably have more data than you think you do, but that the
Is My Big Data Giving Me Big Value? Read More »
It is important to remain aware of the fact that making data work for you is as much about people as it is about technology. Dataspace has learned a lot about end-user engagement with predictive software and business intelligence infrastructures over the past two decades. After all, it is not the products but the user of
Driving value through end-user engagement Read More »
By now, we all know that big data and predictive modeling are at the heart of any successful and competitive corporate strategy. But making data-driven decisions means more than just selecting software or implementing a BI system; it means making sure the people in your organization understand their roles in applying these systems effectively when it
Becoming a Data-Driven Company in 2017 Read More »
